An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations.
Roberto CavorettoAlessandra De RossiPublished in: CoRR (2022)
Keyphrases
- sampling algorithm
- maximum likelihood
- random sampling
- parameter estimation
- hyperparameters
- markov chain monte carlo
- em algorithm
- support vector
- feature space
- gaussian processes
- maximum a posteriori
- sample size
- chinese restaurant process
- reservoir sampling
- expectation maximization
- video sequences
- gaussian mixture model
- posterior distribution
- machine learning
- evolutionary algorithm
- genetic algorithm